Toon Calders
Toon Calders
University of Antwerp
Verified email at uantwerpen.be
TitleCited byYear
Mining all non-derivable frequent itemsets
T Calders, B Goethals
European Conference on Principles of Data Mining and Knowledge Discovery, 74-86, 2002
3812002
Three naive Bayes approaches for discrimination-free classification
T Calders, S Verwer
Data Mining and Knowledge Discovery 21 (2), 277-292, 2010
3772010
Data preprocessing techniques for classification without discrimination
F Kamiran, T Calders
Knowledge and Information Systems 33 (1), 1-33, 2012
2032012
Discrimination aware decision tree learning
F Kamiran, T Calders, M Pechenizkiy
2010 IEEE International Conference on Data Mining, 869-874, 2010
1752010
Non-derivable itemset mining
T Calders, B Goethals
Data Mining and Knowledge Discovery 14 (1), 171-206, 2007
1712007
Classifying without discriminating
F Kamiran, T Calders
Computer, Control and Communication, 2009. IC4 2009. 2nd International …, 2009
1612009
A survey on condensed representations for frequent sets
T Calders, C Rigotti, JF Boulicaut
Constraint-based mining and inductive databases, 64-80, 2006
1592006
Building classifiers with independency constraints
T Calders, F Kamiran, M Pechenizkiy
2009 IEEE International Conference on Data Mining Workshops, 13-18, 2009
1382009
Classification with no discrimination by preferential sampling
F Kamiran, T Calders
Proc. 19th Machine Learning Conf. Belgium and The Netherlands, 1-6, 2010
992010
Handling conditional discrimination
I Žliobaite, F Kamiran, T Calders
2011 IEEE 11th International Conference on Data Mining, 992-1001, 2011
942011
Mining compressing sequential patterns
HT Lam, F Mörchen, D Fradkin, T Calders
Statistical Analysis and Data Mining: The ASA Data Science Journal 7 (1), 34-52, 2014
932014
Applying webmining techniques to execution traces to support the program comprehension process
A Zaidman, T Calders, S Demeyer, J Paredaens
Ninth European Conference on Software Maintenance and Reengineering, 134-142, 2005
932005
Approximation of frequentness probability of itemsets in uncertain data
T Calders, C Garboni, B Goethals
2010 IEEE International Conference on Data Mining, 749-754, 2010
822010
Efficient pattern mining of uncertain data with sampling
T Calders, C Garboni, B Goethals
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 480-487, 2010
822010
Introduction to the special section on educational data mining
T Calders, M Pechenizkiy
Acm Sigkdd Explorations Newsletter 13 (2), 3-6, 2012
792012
Drawbacks and solutions of applying association rule mining in learning management systems
E García, C Romero, S Ventura, T Calders
Proceedings of the International Workshop on Applying Data Mining in e …, 2007
792007
Discrimination and privacy in the information society
BHM Custers, T Calders, BW Schermer, TZ Zarsky
Studies in applied philosophy, epistemology and rational ethics 3, 1866
781866
Why unbiased computational processes can lead to discriminative decision procedures
T Calders, I Žliobaitė
Discrimination and privacy in the information society, 43-57, 2013
772013
Minimal k-free representations of frequent sets
T Calders, B Goethals
European Conference on Principles of Data Mining and Knowledge Discovery, 71-82, 2003
762003
Efficient AUC optimization for classification
T Calders, S Jaroszewicz
European Conference on Principles of Data Mining and Knowledge Discovery, 42-53, 2007
742007
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Articles 1–20